A Three Body Problem - Statistical (almost) Solution

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Recent advancements in solving the Three Body Problem have emerged, particularly through the use of deep artificial neural networks (DNNs). A notable article published in Nature discusses a statistical approach to this complex problem, while a preprint on arXiv presents another group's findings using similar DNN techniques. However, the term "solved" may be misleading, as these methods provide approximate solutions rather than definitive answers. The DNNs are designed to replicate the functions generated by numerical integrators, resulting in a constant-computational cost for these approximations. Overall, these developments represent significant progress in the field of celestial mechanics.
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gleem said:
Another group using deep artificial neural net approach has also solved the Three Body Problem.
https://arxiv.org/abs/1910.07291
"Solved" is maybe too strong a word for that paper... DNN's are trained to approximate the functions produced by numerical integrators. This leads to a constant-computational cost approximate solution. As far as I can tell anyways...
 
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"Pop III stars are thought to be composed entirely of helium and hydrogen with trace amounts of lithium, the ingredients left over after the Big Bang. They formed early on, around 200 million years after the universe began. These stars are extremely rare because they died out long ago, although scientists have hoped that the faint light from these distant, ancient objects would be detectable. Previous Population III candidates have been ruled out because they didn't meet the three main...

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